Research Engineer, Retrieval & Search, Applied Engineering

OpenAI
San Francisco
Workplace: OnsiteFull timeUSD 293,000 - 585,000 annuallyFunction: Research & Scientific (R&D)Skills: ["Communication","Collaboration","Problem-solving"]

Seeking an experienced Research Engineer to advance retrieval and search for OpenAI's API and ChatGPT, deploying production-grade ML search systems, collaborating with researchers and engineers, and influencing product strategy. The role centers on document and knowledge retrieval, vector databases, and web-scale search to deliver search-based experiences used by millions of end users.

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FursaFursa
OpenAI
OpenAI
2 years ago

Research Engineer, Retrieval & Search, Applied Engineering

āœ“ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 minutes agoStatus: Live

Job Summary

Seeking an experienced Research Engineer to advance retrieval and search for OpenAI's API and ChatGPT, deploying production-grade ML search systems, collaborating with researchers and engineers, and influencing product strategy. The role centers on document and knowledge retrieval, vector databases, and web-scale search to deliver search-based experiences used by millions of end users.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • ā€¢Work on retrieval & search algorithms and methodologies in close collaboration with our research team, including problems in such domains as document search, enterprise search, knowledge retrieval, and web-scale search.
  • ā€¢Deploy these search methodologies into production in both the API and ChatGPT to be used by millions of end users.
  • ā€¢Explore novel research topics in retrieval & search that may inform our product strategy in the medium and long term.
  • ā€¢Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world
  • ā€¢Own problems end-to-end and move quickly to deliver impactful search solutions in a dynamic environment

Pay and Benefits

Salary: USD 293,000 - 585,000 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • ā€¢Extensive prior experience building and maintaining production machine learning systems.
  • ā€¢Experience working with vector databases, search indices, or other data stores for search and retrieval use cases.
  • ā€¢Experience building and iterating on internet-scale search systems.
  • ā€¢Ability to own problems end-to-end and acquire missing knowledge to complete tasks.
  • ā€¢Capacity to move fast in an environment with loosely defined priorities and deadlines.
Experience:AIMachine learningSearchInformation retrieval
Skills:CommunicationCollaborationProblem-solving
Tech Stack:Machine learningVector databasesSearch indicesData storesAPIChatGPTProduction systems

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALLĀ·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Hectocorn (USD 100B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.4
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